Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/camera-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/camera-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/camera-type") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Woleek/camera-type") model = AutoModelForImageClassification.from_pretrained("Woleek/camera-type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Woleek/camera-type: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Woleek/camera-type/resolve/main/training_args.bin
- Command line
-
hf download hf://Woleek/camera-type/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Woleek/camera-type/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 799a01de620face40215b3ae83eaa013e3bffb2e8872b0fde0f297689de08677
- Size of remote file:
- 4.03 kB
- SHA256:
- 5a891659bbef29a096768cfc757449f649d7adc620258759a34f11798e1676ca
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